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Identifying the Impact of Weather Variation on Crop Yield in the Northern Plains
Jiang, Yong; Koo, Won W. - Agricultural and Applied Economics Association - AAEA - 2011
Persistent link: https://www.econbiz.de/10009024957
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Vertical Pricing Relationships for Lettuce
Powers, Nicholas J. - Economic Research Service, Department of Agriculture - 1994
Persistent link: https://www.econbiz.de/10010922411
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Factors affecting crop insurance purchases in China : the Inner Mongolia region
Boyd, Milton; Pai, Jeffrey; Zhang, Qiao; Wang, H. Holly; … - In: China agricultural economic review : publ. in … 3 (2011) 4, pp. 441-450
Persistent link: https://www.econbiz.de/10009547004
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Implications of within county yield heterogeneity for modeling crop insurance premiums
Cooper, Joseph; Zulauf, Carl; Langemeier, Michael; … - In: Agricultural Finance Review 72 (2012) March, pp. 134-155
Purpose – Farm level data are essential to accurate setting of crop insurance premium rates, but their time series tends to be too short to allow them to be the sole data source. County level data are available in longer time series, however. The purpose of this paper is to present a...
Persistent link: https://www.econbiz.de/10010551574
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West African agriculture and climate change: A comprehensive analysis
Jalloh, Abdulai; Nelson, Gerald C.; Thomas, Timothy S.; … - International Food Policy Research Institute (IFPRI) - 2013
The first of three books in IFPRI’s climate change in Africa series, West African Agriculture and Climate Change: A … editors and contributors of West African Agriculture and Climate Change present plausible future scenarios that combine … economic and biophysical characteristics to explore the possible consequences for agriculture, food security, and resources …
Persistent link: https://www.econbiz.de/10010755479
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West African agriculture and climate change: A comprehensive analysis
Jalloh, Abdulai (contributor); Nelson, Gerald C. (contributor) - International Food Policy Research Institute (IFPRI)
The first of three books in IFPRI’s climate change in Africa series, West African Agriculture and Climate Change: A … contributors of West African Agriculture and Climate Change present plausible future scenarios that combine economic and … biophysical characteristics to explore the possible consequences for agriculture, food security, and resources management to 2050 …
Persistent link: https://www.econbiz.de/10011145651
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Implications of within county yield heterogeneity for modeling crop insurance premiums
Cooper, Joseph; Zulauf, Carl; Langemeier, Michael; … - In: Agricultural Finance Review 72 (2012) 1, pp. 134-155
Purpose – Farm level data are essential to accurate setting of crop insurance premium rates, but their time series tends to be too short to allow them to be the sole data source. County level data are available in longer time series, however. The purpose of this paper is to present a...
Persistent link: https://www.econbiz.de/10014667140
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Imbedding dynamic responses with imperfect information into static portraits of the regional impact of climate change
Yohe, G.W. - 2008
It is becoming increasingly clear, at least on a theoretical level, that modelers of the potential impacts of climate change must impose that change upon the world as it will be configured sometime in the future rather than confine their attention to considerations of what would happen to the...
Persistent link: https://www.econbiz.de/10009435515
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Genetic Engineering in Indian Agriculture An Introductory Handbook
Kuruganti, Kavitha - eSocialSciences - 2009
The handbook is prepared to create an informed public debate on Genetic Engineering in agriculture and this … Introductory Manual is a contribution to this debate – a debate not just on GE in agriculture per se but on democratization of …
Persistent link: https://www.econbiz.de/10005696015
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A dynamic stochastic programming model of crop rotation choice to test the adoption of long rotation under price and production risks
Ridier, Aude; Chaib, Karim; Roussy, Caroline - In: European journal of operational research : EJOR 252 (2016) 1, pp. 270-279
Persistent link: https://www.econbiz.de/10011449485